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Abstract
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Article Information:
Research and Simulation of FECG Signal Blind Separation Algorithm Based on Gradient Method
Yu Chen and Cheng Zhao
Corresponding Author: Yu Chen
Submitted: March 23, 2012
Accepted: April 20, 2012
Published: August 15, 2012 |
Abstract:
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Independent Component Analysis (ICA) is a new developed signal separation and digital analysis
technology in recent years. ICA has widely used because it does not need to know the signal prior information,
which has became the hot spot in signal processing field research. In this study, we firstly introduce the
principle, meaning and blind source separation algorithm based on the gradient. By using the traditional natural
gradient algorithm and Equi-variant Adaptive Source Separation via Independent (EASI) blind separation
algorithm, mixing ECG signals with noises had been separated effectively into the Maternal Electrocardiograph
(MECG) signal, Fetal Electrocardiograph (FECG) signal and noise signal. The algorithm separation test showed
that EASI algorithm can better separate the fetal ECG signal and because the gradient algorithm is a kind of
online algorithm, which can be used for clinical fetal ECG signal of the real-time detection with important
practical value and research significance.
Key words: Blind signal separation, EASI algorithm, FECG, gradient algorithm, MECG, ,
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Cite this Reference:
Yu Chen and Cheng Zhao, . Research and Simulation of FECG Signal Blind Separation Algorithm Based on Gradient Method. Research Journal of Applied Sciences, Engineering and Technology, (16): 2707-2711.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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